Network Statistics in Function of Statistical Intrusion Detection

被引：0
|
作者：
Cisar, Petar [1 ]
Cisar, Sanja Maravic [2 ]
机构：
[1] Telekom Srbija, Subotica, Serbia
[2] Subot Tech, Subotica, Serbia
来源：
COMPUTATIONAL INTELLIGENCE IN ENGINEERING | 2010年 / 313卷
关键词：
network traffic curves; modelling; descriptive statistics; control limits; adaptive algorithm; intrusion detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Intrusion detection is used to monitor and capture intrusions (attacks) into computer network systems which attempt to compromise their security. A lot of different approaches exist for statistical intrusion detection. One of them is behavioral analysis, thus in accordance with this, a model-based algorithm is presented. The paper also elaborates the way of determining the control limits of regular traffic using descriptive statistics. In addition, the paper deals with the statistical formulation or relation between the average and maximum value of network traffic and discuss the time factor in intrusion detection.
引用
收藏
页码：27 / +
页数：2
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